HSV2 Swift “Since Wärtsilä installed the composite Jetguard seals on all four of our water jet shafts we have travelled over 42,000 nautical miles. The seals have responded well and at times, exceeding the vessel’s recommended wave height limits. To date all four seals remain leak-fre...
Built by Australia's Incat shipyard in Tasmania, Swift is essentially a roll-on/roll-off (ro-ro) passenger ferry that is capable of carrying 450 tonnes of cargo and 350 people. It was chartered as High-Speed Vessel 2 (HSV-2) by US Military Sealift Command from 2008 to 2013.Jeremy ...
The HSV 2 Swift was constructed by the Australian shipbuilder Incat in Hobart, Tasmania, in 2003 and was leased to the U.S. Navy. The ship is a 98 metre-long, ex-military, high-speed wave piercing catamaran now running from a commercial arm of Military Sealift Command, hauling military...
HSV-2“快捷”号 针对“合资”号的不足,2003年6月美国海军和陆战队又与因凯特公司签署合同,租借一艘载重量和装卸能力更强的改进型高速船—HSV-2“快捷”(Swift,又译“雨燕”)号。8月13日交付后该船就由海军船员驾驶,驶向波斯湾,目前正在中央司令部战区活动。 HSV-2航速64.8千米/小时,可运载350名武装人员,载...
2016年,胡塞武装对阿联酋的部队运输双体船HSV-2 Swift实施了突袭,并图谋对阿利号驱逐舰梅森号(DDG-87)发起攻击。为了应对这一局势,伯克级导弹驱逐舰代表美国对胡塞武装的目标发射了战斧对地攻击巡航导弹(LACM)。据相关报道,胡塞武装在上述袭击中动用了反舰导弹。此后,胡塞武装陆续展示了多款新型反舰巡航导弹,其中包括...
(2)使用样例: 1 2 3 4 5 6 7 8 9 10 11 12 print("--- 橙色HSB值 ---") print("色相:", UIColor.orange.hsba.hue) print("饱和度:", UIColor.orange.hsba.saturation) print("亮度:", UIColor.orange.hsba.brightness) print("透明度:", UIColor.orange.hsba.alpha) print("--- 自定义...
例如,在Tiny-ImageNet上,HSViT-C3A4以2.3M参数实现了56.73%的top-1准确度,超过了SwiftFormer-XS 4.76%(3.1M,51.97%)、MobileViT-XS 2.84%(2.0M,53.89%)和MobileNetV2-1.0 8.66%(2.5M,48.07%)。拥有6.9M参数的HSViT-C4A8在除Fashion-MNIST外的五个数据集上获得了最高的top-1准确度,在Fashion-MNIST上,...
Details of SWIFT Code # BKCHAU2SHSV. Institution Name : BANK OF CHINA LIMITED, SYDNEY BRANCH. Branch : HURSTVILLE BRANCH. City : HURSTVILLE. Country : Australia. Address : . Zip code : .
YUV 多出现在音视频合成领域,音视频合成领域要求在表达同样内容时,争取占用更少的空间。同个视频,YUV空间要比RGB空间描绘省下来一半的空间消耗(YUV4:2:0)。 YUV(也称:YCbCr):Y表示明亮度,UV的作用是描述影像色彩及饱和度。 主要的采样格式有 YUV4:2:0(最常用)、YUV4:2:2 和 YUV4:4:4 ,也就是说 RGB...
hsv_image[:, :, 2] = np.clip(contrast_factor * hsv_image[:, :, 2], 0, 255) #将HSV图像转换回BGR色彩空间 result_image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR) # 显示结果 cv2.imshow('Original Image', image) cv2.imshow('Edited Image', result_image) ...